Title :
Statistical modeling for facial expression analysis and synthesis
Author :
Abboud, Bouchra ; Davoine, Franck ; Dang, Mô
Author_Institution :
Heudiasyc Lab., CNRS, Compiegne, France
Abstract :
Facial expression interpretation, recognition and analysis is a key issue in visual communication and man to machine interaction. In this paper, we present a technique for extracting appearance parameters from a natural image or video sequence, which allow reproduction of natural looking expressive synthetic faces. This technique was used to perform face synthesis and tracking in video sequences as well as facial expression recognition and control.
Keywords :
face recognition; feature extraction; human computer interaction; image sequences; visual communication; face synthesis; facial expression interpretation; facial recognition; feature extraction; image sequence; man-machine interaction; statistical modeling; visual communication; Communication system control; Face detection; Face recognition; Laboratories; Man machine systems; Principal component analysis; Shape control; Speech synthesis; Video sequences; Visual communication;
Conference_Titel :
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
Print_ISBN :
0-7803-7750-8
DOI :
10.1109/ICIP.2003.1247046
